exponential weight factor. Requiring that the corrections least depend on the one-particle energy, ω, we derive a deformed entropy … large fluctuations, in the limit CΔT2/T2→∞, a new parameter-free entropy–probability relation is gained. The corresponding …

In the framework of the information theory, entropy measures the level of disorder of a system or its uncertainty …. Varotsos et al. (2004) introduced the concept of entropy in natural time domain as a discriminating statistics. In this paper …, we analyzed the fluctuations of entropy, δS, of synthetic seismicity produced by an experimental stick–slip system in …

. It is found that the most relevant control parameter is not the excess entropy, but the compressibility factor, i.e. the … logarithm derivative of the excess entropy with respect to the packing fraction. …

flow. This paper proposes to model debris flow concentration using the Tsallis entropy theory. Verification of the entropy …-based distribution of debris flow concentration using the data and equations reported in the literature shows that the Tsallis entropy …

? Transfer of the exergy, i.e., consumption of free energy will keep the system away from a stable equilibrium. So entropy … irreversibility. The analysis developed in this paper points out that the principle of maximum of entropy generation and the least … can be related to the extremum entropy generation theorem. Irreversibility is the result of the interaction between …

A measure of redundancy inherent in the layouts of water distribution networks is developed using the Tsallis entropy … redundancy measure is applied to layouts reported in the literature and is compared with the Shannon entropy-based measure. Using … the values reported in the literature, it is shown that there is almost a one-to-one relation between the Shannon entropy …

The extremum of entropy generation is evaluated for both maximum and minimum cases using a thermodynamic approach which … the entropy generation extremum theorem is proved by the engineering approach. It follows from the proof that the entropy …

uncertainty. The Shannon’s information entropy is an effective measure for the uncertainty in probability theory. Dempster …|] according to the concept of entropy. …